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MealMe raises $900,000 for its food search engine
This morning MealMe.ai, a food search engine, announced that it has closed a $900,000 pre-seed round. Palm Drive Capital led the round, with participation from Slow Ventures and CP Ventures.
TechCrunch first became familiar with MealMe when it presented as part of the Techstars Atlanta demo day last October, mentioning it in a roundup of favorite startups from a group of the accelerator’s startup cohorts.
The company’s product allows users to search for food, or a restaurant. It then displays price points from various food-delivery apps for what the user wants to eat and have delivered. And, notably, MealMe allows for in-app checkout, regardless of the selected provider.
The service could boost pricing and delivery-speed transparency amongst the different apps that help folks eat, like DoorDash and Uber Eats. But Mealme didn’t start out looking to build a search engine. Instead it took a few changes in direction to get there.
From social network to search engine
MealMe is an example of a startup whose first idea proved only directionally correct. The company began life as a food-focused social network, co-founder Matthew Bouchner told TechCrunch. That iteration of the service allowed users to view posted food pictures, and then find ordering options for what they saw.
While still operating as a social network, MealMe applied to both Y Combinator and Techstars, but wasn’t accepted at either.
The startup discovered that some of its users were posting food pics simply to get the service to tell them which delivery services would be able to bring them what they wanted. From that learning the company focused on building a food search engine, allowing users to search for restaurants, and then vet various delivery options and prices. That iteration of the product got the company into Techstars Atlanta, eventually leading to the demo day that TechCrunch reviewed.
During its time in Techstars, the company adjusted its model to not merely link to DoorDash and others, but to handle checkout inside of its own application. This captures more gross merchandize value (GMV) inside of MealMe, Bouchner explained in an interview. The capability was rolled out in September of 2020.
Since then the company has seen rapid growth, which it measures at around 20% week-on-week. During TechCrunch’s interview with MealMe, the company said that it had reached a GMV run rate of more than $500,000, and was scaling toward the $1 million mark. In the intervening weeks the company passed the $1 million GMV run-rate threshold.
MealMe was slightly coy on its business model, but it appears to make margin between what it charges users for orders and the total revenue it passes along to food delivery apps.
TechCrunch was curious about platform risk at MealMe; could the company get away with offering price comparison and ordering across multiple third-party delivery services without raising the ire of the companies behind those apps? At the time of our interview, Bouchner said that his company had not seen pushback from the services it sends users to. His company’s goal is to grow quickly, become a useful revenue source for the DoorDashes of the world, and then reach out for some of formal agreement, he explained.
“We continue to be a powerful revenue generator and drive thousands of orders to food delivery services per week,” the co-founder said in a written statement. Certainly MealMe found investors more excited by its growth than concerned about Uber Eats or other apps cutting the startup off from their service.
What first caught my eye about MealMe was the realization of how much I would have used it in my early 20s. Perhaps the company can find enough users like my younger self to help it scale to sufficient size that it can go to the major food ordering companies and demand a cut, not merely avoid being cut off.
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Lifestyle benefits startup Fringe gets a pandemic boost, raises seed round
Employers today often use perks to attract new talent in the form of discounts and deals, commuter funds, gym memberships, child care, free lunches and more. But the pandemic has impacted what sort of in-office or other in-person perks employees can access. That’s led to booming growth — and now, a fundraise — for a startup called Fringe, which offers companies a personalized marketplace of perks that people really want, like Netflix, Uber, Airbnb, DoorDash, Headspace, Talkspace and over 100 other apps.
The idea for Fringe came about from the co-founders’ work as financial advisors where they regularly found themselves consulting people who were weighing new job options and their associated benefits.
“Companies are spending a lot money on traditional benefits … $800, $1,000 a month per person. But the perceived value for most employees is relatively small, given the cost,” explains Fringe CEO Jordan Peace. “I started thinking about what could [companies] offer employees that would be a pretty low actual cost, but a really high perceived value?”
He landed on the idea of subscription services — things people use all the time in their daily lives, but sometimes feel just out of reach from a budgetary standpoint.
That’s where Fringe comes in.
Employers sign up for access to Fringe’s platform at a starting cost of $5 per employee per month. (The rate may decrease for larger organizations.) They then place the dollars they would normally spend on lifestyle benefits into the Fringe accounts of their employees, where they’re converted to “points” that can be spent on any of the apps and services.
Fringe Platform Walkthrough from Fringe on Vimeo.
Today, the marketplace offers a range of benefits, including streaming services like Netflix, Spotify, Disney+ and Audible, as well as virtual fitness, virtual coaching and wellness, online therapy like Talkspace, food and grocery delivery, like Grubhub, Uber Eats, Instacart, and Shipt, prepackaged meals, child care like UrbanSitter, and more.
In the U.S., there are 135 services partners to choose from, with another couple hundred that are available overseas.
The startup’s business model involves negotiating a discount of anywhere from 10% to up to 60% off these services, which it passes along to the employees through its points back (rebate) system. Initially, it only allowed employees to spend their employer-provided lifestyle benefits dollars on Fringe. But due to user demand, it later opened up to allow employees to spend their own money, too — a feature they wanted specifically because of the points back.
Fringe first launched in 2019 — well ahead of the pandemic — and saw some slow but steady growth. It ended the year with 15 clients, representing a couple hundred employees in total.
But then the COVID-19 pandemic hit, which sent a number of employees to work from home in a radical change to business culture that appears to have lasting impacts.
“After the dust settled from the first few months of COVID, we started getting 10 … 20 times more inbound interest,” Peace says, as companies realized Fringe could be a way to support their employees working from home.
“We were just in the right place at the right time to begin to profit from this changed workplace. And it’s not just a ‘pandemic perk.’ We’re going to get past COVID, and we’re still going to have two-thirds of people working from home. The workplace has changed,” he adds.
Image Credits: Fringe CEO Jordan Peace
By the end of 2020, Fringe had grown its client base to over 70 employers, representing now over 12,000 users on its platform. Today, its pipeline includes companies with between 200 and 2,000 employees — a sweet spot that allows them to move relatively quickly. This client base often includes tech companies, like car-sharing startup Turo or talent management system Cornerstone OnDemand, for example.
This year, Fringe expects to grow to well over 100,000 users on its platform, and increase its own team’s headcount, which is today around 20. It also plans to update its marketplace website to include things like automatic point gifting, charitable giving, new Slack integrations, improved navigation, and more.
As a result of the recent growth, Fringe has raised $2.2 million in new funding, in a round led by Sovereign’s Capital, with participation from Felton Group, Manchester Story, the Center for Innovative Technology and angel investors, including Jaffray Woodriff. As part of this investment, the company also added longtime advisor William Boland, senior director of Corporate Development and Strategy at Mission Lane, to its board of directors.
With the addition of the new funds, the startup’s total raise to date is $4 million.
Fringe believes the advantage of its marketplace is that it can be personalized to the user. Typically, employers determine what benefits to offer by running employee surveys, where the majority wins. That’s why many companies today provide perks like backup child care or discounted gym access. But this system discounts the minority’s needs — people who may not have kids or don’t want to work out. People who wish they could use their benefits dollars in a different way.
In addition to employee perks, Fringe believes that having so many subscriptions under one roof could present other opportunities farther down the line.
Woodriff, for example, sees Fringe’s potential as a big data play, in terms of who is signing up for what subscriptions and why.
“But if you think about the fact that you’ve got a subscription service marketplace … there’s more applications to that than just employee benefits,” Peace explains. “I’d like our Series A to be predicated upon the much greater total addressable market. And so I think we’re going to spend the next year to 18 months laying down concrete plans and building the tech to be ready to roll out a couple of different use cases,” he says.
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3 days left to save on early-bird pricing for TC Early Stage — Operations & Fundraising
In a mere 72 hours, early-bird pricing disappears for TechCrunch Early Stage 2021, our two-part founder bootcamp series focused on the building blocks you need to grow your company. The first event, TC Early Stage Operations & Fundraising, happens on April 1-2 — that’s two program packed days of education, connection and opportunity.
The second event, TC Early Stage — Marketing & Fundraising, takes place July 8-9. Pro Tip: Each bootcamp stands alone and features different topics, content and speakers. Attend one or both events — it’s up to you. But know this: You’ll save more and learn twice as much when you score a dual-event pass at the early-bird price. Beat the deadline, buy your passes before Feb 27 at 11:59 p.m. (PST) and save up to $100.
TC Early Stage is all about helping new startup founders (pre-seed through Series A) learn the essential skills required to build a successful startup. No need to reinvent the wheel — you’ll have access to the leading experts across the range of specialties. Much like an accelerator (compacted into two days), you’ll learn about legal issues, fundraising, marketing, growth, product-market fit, tech stack, pitch decks and recruiting. We’re talking highly engaging workshops with interactive Q&As.
On day one you’ll hear from experts like Eghosa Omoigui, the founder and managing general partner of EchoVC Partners, a seed and early-stage technology venture capital firm serving underrepresented founders and underserved markets. He’ll discuss ways to keep your eyes on the big picture and avoid the blind spots that lead to fragmentation and oversights.
Day two features the TC Early Stage Pitch Off! Out of the hundreds of applications we received, we selected 10 founders to pitch on stage for five minutes to a panel of prominent VC judges — followed by a five-minute Q&A. Three founders will move into the finals and pitch to a new panel of judges and endure a more in-depth Q&A. The winner receives a feature article on TechCrunch.com, a free, one-year subscription to ExtraCrunch and a free Founder Pass to TechCrunch Disrupt 2021.
Wondering whether it’s worth your time and money?
“You learn from industry leaders and seasoned founders — people who’ve already been there and done that. They were genuine and honest about industry expectations. Plus, they shared firsthand accounts, which made them more relatable.” — Chloe Leaaetoa, founder of Socicraft
Don’t reinvent the wheel. Go to TechCrunch Early Stage 2021 (in April and July), learn from the best, connect with other early-stage founders and build a stronger startup. The early-bird price disappears in three days on Friday, Feb 27 at 11:59 p.m. (PST). Buy your pass today and save up to $100.
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Select Star raises seed to automatically document datasets for data scientists
Back when I was a wee lad with a very security-compromised MySQL installation, I used to answer every web request with multiple “SELECT *” database requests — give me all the data and I’ll figure out what to do with it myself.
Today in a modern, data-intensive org, “SELECT *” will kill you. With petabytes of information, tens of thousands of tables (on the small side!), and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately.
Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses), infrastructure to make accessing data more robust and easy. There is still a cataloguing and discovery problem though — just because you have all of your data in one place doesn’t mean a data scientist knows what the data represents, who owns it or what that data might affect in the myriad web and corporate reporting apps built on top of it.
That’s where Select Star comes in. The startup, which was founded about a year ago (in March 2020), is designed to automatically build out metadata within the context of a data warehouse. From there, it offers a full-text search that allows users to quickly find data as well as “heat map” signals in its search results, which can quickly pinpoint which columns of a data set are most used by applications within a company and have the most queries that reference them.
The product is SaaS, and it is designed to allow for quick onboarding by connecting to a customer’s data warehouse or business intelligence (BI) tool.
Select Star’s interface allows data scientists to understand what data they are looking at. Image via Select Star.
Shinji Kim, the sole founder and CEO, explained that the tool is a solution to a problem she has seen directly in corporate data science teams. She formerly founded Concord Systems, a real-time data processing startup that was acquired by Akamai in 2016. “The part that I noticed is that we now have all the data and we have the ability to compute, but now the next challenge is to know what the data is and how to use it,” she explained.
She said that “tribal knowledge is starting to become more wasteful [in] time and pain in growing companies,” and pointed out that large companies like Facebook, Airbnb, Uber, Lyft, Spotify and others have built out their own homebrewed data discovery tools. Her mission for Select Star is to allow any corporation to quickly tap into an easy-to-use platform to solve this problem.
The company raised a $2.5 million seed round led by Bowery Capital, with participation from Background Capital and a number of prominent angels including Spencer Kimball, Scott Belsky, Nick Caldwell, Michael Li, Ryan Denehy and TLC Collective.
Data discovery tools have been around in some form for years, with popular companies like Alation having raised tens of millions of VC dollars over the years. Kim sees an opportunity to compete by offering a better onboarding experience and also automating large parts of the workflow that remain manual for many alternative data discovery tools. With many of these tools, “they don’t do the work of connecting and building the relationship,” between data she said, adding that “documentation is still important, but being able to automatically generate [metadata] allows data teams to get value right away.”
Select Star’s team, with CEO and founder Shinji Kim in top row, middle. Image via Select Star.
In addition to just understanding data, Select Star can help data engineers begin to figure out how to change their databases without leading to cascading errors. The platform can identify how columns are used and how a change to one may affect other applications or even other data sets.
Select Star is coming out of private beta today. The company’s team currently has seven people, and Kim says they are focused on growing the team and making it even easier to onboard users by the end of the year.
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Aquarium scores $2.6M seed to refine machine learning model data
Aquarium, a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. Today the company announced a $2.6 million seed led by Sequoia with participation from Y Combinator and a bunch of angel investors, including Cruise co-founders Kyle Vogt and Dan Kan.
When the two co-founders, CEO Peter Gao and head of engineering Quinn Johnson, were at Cruise they learned that finding areas of weakness in the model data was often the problem that prevented it from getting into production. Aquarium aims to solve this issue.
“Aquarium is a machine learning data management system that helps people improve model performance by improving the data that it’s trained on, which is usually the most important part of making the model work in production,” Gao told me.
He says that they are seeing a lot of different models being built across a variety of industries, but teams are getting stuck because iterating on the data set and continually finding relevant data is a hard problem to solve. That’s why Aquarium’s founders decided to focus on this.
“It turns out that most of the improvement to your model, and most of the work that it takes to get it into production is about deciding, ‘Here’s what I need to go and collect next. Here’s what I need to go label. Here’s what I need to go and retrain my model on and analyze it for errors and repeat that iteration cycle,” Gao explained.
The idea is to get a model into production that outperforms humans. One customer, Sterblue, offers a good example. They provide drone inspection services for wind turbines. Their customers used to send out humans to inspect the turbines for damage, but with a set of drone data, they were able to train a machine learning model to find issues. Using Aquarium, they refined their model and improved accuracy by 13%, while cutting the cost of human reviews in half, Gao said.
The Aquarium team. Image: Aquarium
Aquarium currently has seven employees, including the founders, of which three are women. Gao says that they are being diverse by design. He understands the issues of bias inherent in machine learning model creation, and creating a diverse team for this kind of tooling is one way to help mitigate that bias.
The company launched last February and spent part of the year participating in the Y Combinator Summer 2020 cohort. They worked on refining the product throughout 2020, and recently opened it up from beta to generally available.
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VCs are chasing Hopin upwards of $5-6B valuation
Virtual events platform Hopin is hopin’ for a mega valuation.
According to multiple sources who spoke with TechCrunch, the company, which was founded in mid-2019, is running around the fundraise circuit and perhaps nearing the end of a fundraise in which it is looking to raise roughly $400 million at a pre-money valuation of $5 billion for its Series C. The two names out in front, likely part of a joint ticket, are thought to be Andreessen Horowitz and General Catalyst.
Two sources implied that the valuation could have gone as high as $6 billion, but with greater dilution based on some offered terms the company has received. The deal is in flux, and both the round size and valuation are subject to change.
One source told TechCrunch that the company’s ARR has grown to $60 million, implying a valuation multiple of 80-100x if the valuation we’re hearing pans out. That sort of multiple wouldn’t be out of line with other major fundraises for star companies with SaaS-based business models.
Hopin has been on a fundraise tear in recent months. The company raised $125 million at a $2.125 billion valuation late last year for its Series B, which came just a few months after it raised a Series A of $40 million over the summer and a $6.5 million seed round last winter. All told, the roughly 20-month-old company has raised a known $171.4 million in VC according to Crunchbase.
When we last reported on the company, Hopin’s ARR had gone from $0 to $20 million, while its overall userbase had grown from essentially zero to 3.5 million users in November. The company reported then that it had 50,000 groups using its platform.
Hopin’s platform is designed to translate the in-person events experience into a virtual one, providing tools to recreate the experience of walking exhibition floors, networking one-on-one and spontaneously joining fireside chats and panels. It’s become a darling in the midst of the COVID-19 pandemic, which has seen most business and educational conferences canceled in the midst of mass restrictions on domestic and international travel worldwide.
It’s probably also useful to note that our business team uses Hopin to run all of TechCrunch’s editorial events, including Disrupt, Early Stage, Extra Crunch Live and next week’s TechCrunch Sessions: Justice 2021 event (these software selections and their costs are — thankfully — outside the purview of our editorial team).
Hopin may be the mega-leader of the virtual events space right now, but it isn’t the only startup trying to take on this suddenly vital industry. Run The World raised capital last year, Welcome wants to be the “Ritz-Carlton for event platforms,” Spotify is getting into the business, Clubhouse is arguably a contender here, InEvent raised a seed earlier this month and Hubilo is another entrant, which nabbed a check from Lightspeed a few months ago. Plus, quite literally dozens of other startups have either started in the space or are pivoting toward it.
We have reached out to Hopin for comment.
Post updated to report that Andreessen Horowitz and General Catalyst are in the lead.
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Hydrolix snares $10M seed to lower the cost of processing log data at scale
Many companies spend a significant amount of money and resources processing data from logs, traces and metrics, forcing them to make trade-offs about how much to collect and store. Hydrolix, an early-stage startup, announced a $10 million seed round today to help tackle logging at scale, while using unique technology to lower the cost of storing and querying this data.
Wing Venture Capital led the round with help from AV8 Ventures, Oregon Venture Fund and Silicon Valley Data Capital.
Company CEO and co-founder Marty Kagan noted that in his previous roles, he saw organizations with tons of data in logs, metrics and traces that could be valuable to various parts of the company, but most organizations couldn’t afford the high cost to maintain these records for very long due to the incredible volume of data involved. He started Hydrolix because he wanted to change the economics to make it easier to store and query this valuable data.
“The classic problem with these cluster-based databases is that they’ve got locally attached storage. So as the data set gets larger, you have no choice but to either spend a ton of money to grow your cluster or separate your hot and cold data to keep your costs under control,” Kagan told me.
What’s more, he says that when it comes to querying, the solutions out there like BigQuery and Snowflake are not well-suited for this kind of data. “They rely really heavily on caching and bulk column scans, so they’re not really useful for […] these infrastructure plays where you want to do livestream ingest, and you want to be able to do ad hoc data exploration,” he said.
Hydrolix wanted to create a more cost-effective way of storing and querying log data, while solving these issues with other tooling. “So we built a new storage layer which delivers […] SSD-like performance using nothing but cloud storage and diskless spot instances,” Kagan explained. He says that this means that there is no caching or column scales, enabling them to do index searches. “You’re getting the low cost, unlimited retention benefits of cloud storage, but with the interactive performance of fully indexed search,” he added.
Peter Wagner, founding partner at investor Wing Venture Capital, says that the beauty of this tool is that it eliminates trade-offs, while lowering customers’ overall data processing costs. “The Hydrolix team has built a real-time data platform optimized not only to deliver superior performance at a fraction of the cost of current analytics solutions, but one architected to offer those same advantages as data volumes grow by orders of magnitude,” Wagner said in a statement.
It’s worth pointing out that in the past couple of weeks SentinelOne bought high-speed logging platform Scalyr for $155 million, then CrowdStrike grabbed Humio, another high-speed logging tool for $400 million, so this category is getting attention.
The product is currently compatible with AWS and offered through the Amazon Marketplace, but Kagan says they are working on versions for Azure and Google Cloud and expect to have those available later this year. The company was founded at the end of 2018 and currently has 20 employees spread out over six countries, with headquarters in Portland, Oregon.
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Noya Labs turns cooling towers into direct air capture devices for CO2 emissions
Not every company’s founders find themselves on a first-name basis with the local bomb squad, but then again not every company is Noya Labs, which wants to turn the roughly 2 million cooling towers at industrial sites and buildings across the U.S. into CO2-sucking weapons in the fight against global climate change.
When the company first started developing prototypes of its devices that attach to water coolers, the company’s founders, Josh Santos and Daniel Cavero, did what all good founders do, they started building in their backyard.
The sight of a 55-gallon oil drum and a yellow refrigeration tank in a sous vide bath attached to red and blue cables didn’t sit so well with the neighbors, so Santos and Cavero found themselves playing host to the bomb squad multiple times, according to the company’s chief executive, Santos.
“We proved that it could capture CO2, and we achieved something that no startup should achieve,” Santos said of the dubious bomb squad distinction.
Santos and Cavero were inspired to begin their experiments with direct air capture by an article describing some research into plants’ declining ability to capture carbon dioxide that Santos read on Caltrain on his way to work back in 2019. That article spurred the would-be entrepreneur and his roommate to get to work on experimenting with carbon chemistry.
Their first product was a consumer air purifier that would pull carbon dioxide from the atmosphere in homes and capture it. Homeowners could then sell the captured gases to Santos and Cavero who would then resell it. But the two quickly realized that the business model wasn’t economical, and went back to the drawing board.
They found their eventual application in industrial cooling towers, which the company’s tech can turn into CO2-capturing devices that have the capacity to take in between half a ton and a ton of carbon dioxide per day.
Noya’s tech works by adding a blend of CO2-absorbing chemicals to the water in the cooling towers. They then add an attachment to the cooling tower that activates what Santos called a regeneration process to convert the captured CO2 back into gas. Once they have captured the CO2 the company will look to resell it to industrial CO2 consumers.
It’s not green yet, at least not exactly, because that CO2 is being recirculated instead of sequestered, but Santos said it’s greener than existing sources of the gas, which come from ammonia and ethanol plants.
Noya Labs co-founders Josh Santos and Daniel Cavero. Image Credit: Noya Labs
“Five years from now we fully intend to have vertically integrated carbon capture and sequestration. Our first step is locally produced low-cost atmospherically captured CO2,” said Santos. “If we were to go all-in on a carbon capture, that would require a lot of time for us to develop. What this initial model allows us to do is fine-tune our capture technology while building up long-term to go to market.”
Santos called it the “Tesla roadster approach” so that the company can build up capital and get revenue and prove one piece of it as an MVP so they can prove other steps of it down the line.
Noya Labs already is developing a pilot plant with the Alexandre Family Farm that should capture between the estimated half a ton and one-ton target.
To develop the initial pilot and build out its team, the company has managed to raise $1.2 million from the frontier tech investment firm Fifty Years, founded by Ela Madej and Seth Bannon, and Chris Sacca’s Lowercarbon Capital (whose mission statement to invest in companies that will buy time to “unf*ck the planet” might be one of the greatest). The company’s also in Y Combinator.
“One of the things that makes us excited about this technology is that in the U.S. alone there are 2 million cooling towers. Looking conservatively — if our initial pilot plant can capture 1 ton per day — we’re at right over half a gigaton of CO2 capture.”
And companies are already raising their hands to pick up the CO2 that Noya would sell on the market. There’s a growing collection of startups that are using CO2 to make products. These companies range from the slightly silly, like Aether Diamonds, which uses CO2 to make… diamonds; to companies like Dimensional Energy or Prometheus Fuels, which make synthetic fuels with CO2, or Opus12, which uses CO2 in its replacements for petrochemicals.
Prices for commercial CO2 range between $125 per ton to $5,000 per ton, according to Santos. And Noya would be producing at less than $100 per ton. Current Direct Air Capture companies sell their CO2 from somewhere between $600 to $700 per ton.
Stoya’s first installation could cost around $250,000, Santos said. For Bannon, that means the company passes his “Mr. Burns test.”
Introducing “the Mr Burns test” for sustainability companies.
Build a product that Mr Burns (the prototypic self-absorbed egoistic greedy capitalist) would buy not because it’s sustainable but because it’s the best / cheapest / most convenient.
That’s the
to impact at scale.
— Seth Bannon
(@sethbannon) January 6, 2020
“We’ve been digging into the DAC space but haven’t liked the techno-economics we’ve seen. Previous approaches have had too much capex and opex and not enough revenue potential,” Bannon wrote in an email. “That’s what Noya has solved. By leveraging existing industrial equipment, their model is profitable. And better yet, they make their carbon capture partners money, allowing them to scale this up fast. This creates an opportunity to profitably remove 1 gigaton-plus a year.”
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The carbon offset API developer Patch confirms a $4.5 million round led by Andreessen Horowitz
Patch, the carbon offset API developer, has raised $4.5 million in financing to build out its business selling customers a way to calculate their carbon footprint and identify and finance offset projects that capture the equivalent carbon dioxide emissions associated with that footprint.
Confirming TechCrunch reporting, Andreessen Horowitz led the round, which also included previous investors VersionOne Ventures, MapleVC and Pale Blue Dot Ventures.
Patch’s application protocol interface works for both internal and customer-facing operations. The company’s code can integrate into the user experience on a company’s internal site to track things like business flights for employees, recommending and managing the purchase of carbon credits to offset employee travel.
The software allows companies to choose which projects they’d like to finance to support the removal of carbon dioxide from the atmosphere, with projects ranging from the tried and true reforestation and conservation projects to more high-tech early-stage technologies like direct air capture and sequestration projects, the company said.
Patch founders Brennan Spellacy and Aaron Grunfeld, two former employees at the apartment rental service Sonder, stressed in an interview that the company’s offset work should not be viewed as an alternative to the decarbonization of businesses that use its service. Rather, they see Patch’s services as a complement to other work companies need to do to transition away from a reliance on fossil fuels in business operations.
Patch co-founders Brennan Spellacy and Aaron Grunfeld. Image Credit: Patch
Patch currently works with 11 carbon removal suppliers and has plans to onboard another 10 before the end of the first quarter, the company said. These are companies like CarbonCure, which injects carbon dioxide into cement and fixes it so that it’s embedded in building materials for as long as a building lasts.
“Carbon removal credits can help to dramatically accelerate the deployment of technologies like CarbonCure’s, which are absolutely critical to helping us reach our global climate targets. Demand for high-quality, permanent credits is sky-rocketing, and listing credits on Patch will help us to attract a broader range of buyers,” said Jennifer Wagner, president of CarbonCure Technologies, in a statement.
It also has around 15 customers already using its service, according to earlier TechCrunch reporting. Those buyers include companies like TripActions and the private equity firm EQT, which intends to extend the integration of Patch’s API from its own operations to those of its portfolio companies down the road, according to Spellacy.
Grunfeld said that the company would be spending the money to hire more staff and developing new products. From its current headcount of six employees, Patch intends to bring on another 24 by the end of the year.
As the company expands, it’s looking to some of the startups providing carbon emissions audit and verification services as a channel that the company’s API can integrate with and sell through. These would be businesses like CarbonChain, Persefoni and another Y Combinator graduate, SINAI Technologies.
“An increasing number of businesses are taking leadership positions in an effort to reduce emissions to try to counteract global warming,” said Jeff Jordan, managing partner at Andreessen Horowitz. “Patch makes it much easier for companies to add carbon removal to their core business processes, aggregating verified carbon-removal supply and offering turn-key access to it to companies through an easy-to-implement API.”
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Acumen nabs $7M seed to keep engineering teams on track
Engineering teams face steep challenges when it comes to staying on schedule, and keeping to those schedules can have an impact on the entire organization. Acumen, an Israeli engineering operations startup, announced a $7 million seed investment today to help tackle this problem.
Hetz, 10D, Crescendo and Jibe participated in the round, designed to give the startup the funding to continue building out the product and bring it to market. The company, which has been working with beta customers for almost a year, also announced it was emerging from stealth today.
As an experienced startup founder, Acumen CEO and co-founder Nevo Alva has seen engineering teams struggle as they grow due to a lack of data and insight into how the teams are performing. He and his co-founders launched Acumen to give companies that missing visibility.
“As engineering teams scale, they face challenges due to a lack of visibility into what’s going on in the team. Suddenly prioritizing our tasks becomes much harder. We experience interdependencies [that have an impact on the schedule] every day,” Alva explained.
He says this manifests itself in a decrease in productivity and velocity and ultimately missed deadlines that have an impact across the whole company. What Acumen does is collect data from a variety of planning and communications tools that the engineering teams are using to organize their various projects. It then uses machine learning to identify potential problems that could have an impact on the schedule and presents this information in a customizable dashboard.
The tool is aimed at engineering team leaders, who are charged with getting their various projects completed on time with the goal of helping them understand possible bottlenecks. The software’s machine learning algorithms will learn over time which situations cause problems, and offer suggestions on how to prevent them from becoming major issues.
The company was founded in July 2019 and the founders spent the first 10 months working with a dozen design partners building out the first version of the product, making sure it could pass muster with various standards bodies like SOC-2. It has been in closed private beta since last year and is launching publicly this week.
Acumen currently has 20 employees with plans to add 10 more by the end of this year. After working remotely for most of 2020, Alva says that location is no longer really important when it comes to hiring. “It definitely becomes less and less important where they are. I think time zones are still a consideration when speaking of remote,” he said. In fact, they have people in Israel, the U.S. and eastern Europe at the moment among their 20 employees.
He recognizes that employees can feel isolated working alone, so the company has video meetings every day during which they spend the first part just chatting about non-work stuff as a way to stay connected. Starting today, Acumen will begin its go to market effort in earnest. While Alva recognizes there are competing products out there like Harness and Pinpoint, he thinks his company’s use of data and machine learning really helps differentiate it.
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